
React
Vue.js
Next.js
Svelte
Tailwind CSS
Angular.io
Node.js
AngularJS
datarobot
RapidMiner
Statista
Tibco Data Science
Montecarlito
H2O.ai
IBM ILOG CPLEX Optimization Studio
Jupyter
React
datarobotBased on our record, React seems to be a lot more popular than datarobot. While we know about 818 links to React, we've tracked only 1 mention of datarobot. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Let's start by preparing a sample application that we want to place in a Docker image. This will be a web application created using the React framework and its create-react-app tool. It will generate a code template and configuration, allowing us to focus on the image creation aspects. - Source: dev.to / about 1 year ago
Python integrates seamlessly with machine learning (TensorFlow, PyTorch) and data analytics stacks (Pandas). Node.js integrates better with frontend JS ecosystems like React, Vue, and Next.js. - Source: dev.to / 11 months ago
Dora AI exemplifies this. Allan Murphy Bruun adds, "What makes it different is its context-aware logic stitching that understands user flows beyond just UI elements." By analyzing Figma designs, it generates React code with state management, saving hours in development. - Source: dev.to / about 1 year ago
Import { createFileRoute } from "@tanstack/react-router"; Import logo from "../../logo.svg"; Import "../../App.css"; Export const Route = createFileRoute("/_authenticated/")({ component: AuthenticatedRoute, }); Function AuthenticatedRoute() { return (- Source: dev.to / about 1 year ago![]()
...
One inspiring example is a developer building a "Todoist Clone" using a combination of React, Node.js, and MongoDB. The developer tapped into open source libraries and community support to create a highly responsive task management application. This project underscores how indie hackers can achieve rapid development and adaptation with minimal budget – a theme echoed in several indie hacking success stories. - Source: dev.to / over 1 year ago
To predict what we would have expected, we used the models and approach we developed to predict the knockout stage of the Champions League using data provided by Data Sports Group. We used DataRobot’s models to predict which team would win each match to simulate the final nine matchdays 10,000 times. For each team, we calculated the average number of wins, draws and losses over those 10,000 seasons to build an... Source: over 3 years ago
Vue.js - Reactive Components for Modern Web Interfaces
RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
Next.js - A small framework for server-rendered universal JavaScript apps
Statista - The Statistics Portal for Market Data, Market Research and Market Studies
Svelte - Cybernetically enhanced web apps
Tibco Data Science - Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...